Expertises
Medicine & Life Sciences
# Deep Learning
# Facial Recognition
# Machine Learning
Arts & Humanities
# Methodology
# Roman Emperor
Engineering & Materials Science
# Benchmarking
# Composite Materials
# Face Recognition
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Publicaties
Recent
de Wit, F. F.
, Spreeuwers, L.
, & Zeinstra, C. G. (2022).
Biometric Testing: aligning standards and practice. 26-32. Paper presented at 42nd WIC Symposium on Information Theory and Signal Processing in the Benelux, SITB 2022, Louvain-la Neuve, Belgium.
Ramesh, D. S., Heijnen, S., Hekster, O.
, Spreeuwers, L.
, & de Wit, F. (2022).
Facial recognition as a tool to identify Roman emperors: towards a new methodology.
Humanities and Social Sciences Communications,
9(1), Article 78.
https://doi.org/10.1057/s41599-022-01090-y
Batskos, I.
, de Wit, F. F.
, Spreeuwers, L.
, & Veldhuis, R. N. J. (2021).
Preventing face morphing attacks by using legacy face images.
IET biometrics,
10(4), 430-440.
https://doi.org/10.1049/bme2.12047
Raja, K., Ferrara, M., Franco, A.
, Spreeuwers, L., Batskos, I.
, de Wit, F. F., Gomez-Barrero, M., Scherhag, U., Fischer, D., Venkatesh, S., Mohan Singh, J., Ramachandra, R., Rathgeb, C., Frings, D., Seidel, U., Knopjes, F.
, Veldhuis, R. N. J., Maltoni, D., & Busch, C. (2021).
Morphing Attack Detection - Database, Evaluation Platform and Benchmarking.
IEEE transactions on information forensics and security,
16, 4336-4351. Article 9246583.
https://doi.org/10.1109/TIFS.2020.3035252,
https://doi.org/10.1109/TIFS.2020.3035252
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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4057
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4057
Postbus 217
7500 AE Enschede